Fri, 30 Oct 2026

11:00 - 12:00
L1

What does a good maths solution look like?

Luci Bonatto
Abstract

We'll discuss what mathematicians are looking for in written solutions.  How can you set out your ideas clearly, and what are the standard mathematical conventions?

This session is likely to be most relevant for first-year undergraduates, but all are welcome.

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Fri, 23 Oct 2026

14:00 - 15:00
L1

Making the most of Intercollegiate Classes

Abstract

What should you expect in intercollegiate classes?  What can you do to get the most out of them?  In this session, experienced class tutors will share their thoughts, and a current student will offer tips and advice based on their experience.

All undergraduate and masters students welcome, especially Part B and MSc students attending intercollegiate classes. (Students who attended the Part C/OMMS induction event will find significant overlap between the advice offered there and this session!)

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Global minimality of the degree-one Ginzburg-Landau vortex solution in the unit ball in dimensions $n \geq 2$
 Ignat, R Nguyen, L (28 Sep 2026) https://arxiv.org/abs/2609.35398v1
From learnable objects to learnable random objects
 Anderson, A Benedikt, M Journal of Machine Learning Research volume 27 (01 Jan 2026)
Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift
 Przybyłowicz, P Schwarz, V Szölgyenyi, M (10 Mar 2023) https://arxiv.org/abs/2303.05945v3
A Skorohod measurable universal functional representation of solutions to semimartingale SDEs
 Przybyłowicz, P Schwarz, V Steinicke, A Szölgyenyi, M (17 Jan 2022) https://arxiv.org/abs/2201.06278v4
A higher order approximation method for jump-diffusion SDEs with discontinuous drift coefficient
 Przybyłowicz, P Schwarz, V Szölgyenyi, M (16 Nov 2022) https://arxiv.org/abs/2211.08739v2
Randomized Milstein algorithm for approximation of solutions of jump-diffusion SDEs
 Przybyłowicz, P Schwarz, V Szölgyenyi, M (01 Dec 2022) https://arxiv.org/abs/2212.00411v2
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